@inproceedings{8883440af49b4dc39b92818392bad5ef,
title = "Research on the Latest Development of Particle Swarm Optimization Algorithm for Satellite Constellation",
abstract = "As a huge space system, satellite constellation is developing rapidly. Satellite constellation design is a basic problem in the design of multi spacecraft space system. It is the premise of building constellation of earth observation, satellite navigation, satellite communication and various scientific exploration satellites. According to the characteristics of modern satellite constellation design, this paper investigates the design and application of particle swarm optimization algorithm in satellite constellation, and the latest research progress of various research institutions in satellite constellation maintenance and control, autonomous navigation and space real-time monitoring, and discusses the latest strategies and technical methods of satellite constellation operation and management.",
keywords = "Localization, Mapping, Particle Swarm Optimization, Position precision, Satellite constellation",
author = "Zhang, {Jia xu} and Yan, {Xiao peng}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 12th International Conference on Advances in Swarm Intelligence, ICSI 2021 ; Conference date: 17-07-2021 Through 21-07-2021",
year = "2021",
doi = "10.1007/978-3-030-78743-1_18",
language = "English",
isbn = "9783030787424",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "199--209",
editor = "Ying Tan and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 12th International Conference, ICSI 2021, Proceedings",
address = "Germany",
}